text: import numpy as np
  import pandas as pd
  
  import matplotlib
  matplotlib.rcParams['text.usetex'] = True
  matplotlib.rcParams['pdf.fonttype'] = 42
  import matplotlib.pyplot as plt; plt.rcdefaults()
  import seaborn as sns
  
  
  keys = ['Training', 'Validation', 'Test']
  
  
  def plot(values, title):
  	plt.clf()
  	colors = ['lightgreen', 'lightblue', 'orange']
  	linestyles = ['dashed', 'dashed', 'solid']
  	labels = keys
  	x = range(1, 11)
  	plt.bar(x, values, align='center', alpha=0.5)
  	plt.xlabel('Cluster')
  	plt.ylabel('The number of mini-batches')
  	plt.xticks(x, [str(v) for v in x])
  	# plt.ylim(down-step_down, up+step_up)
  	# step = round((up-down)/5, 3)
  	# plt.yticks(np.arange(down, up, step=step))
  	plt.savefig('SEA_minibatches_clusters.pdf')
  
  title = 'The number of mini-batches that each cluster selects in a MAB-based retraining session of the SEA dataset'
  
  sea_minibatches_clusters = [10735, 401, 410, 465, 434, 458, 419, 405, 431, 467]
  
  plot(sea_minibatches_clusters, title)